Parents (Total: 18)

The searched file hash is included in 18 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	854EDE155C13DCE21066074F6A3E5272
PackageArch	i586
PackageDescription	Creating tiny yet beautiful documents and vignettes from R Markdown. The package provides the 'html_pretty' output format as an alternative to the 'html_document' and 'html_vignette' engines that convert R Markdown into HTML pages. Various themes and syntax highlight styles are supported.
PackageName	R-prettydoc
PackageRelease	1.42
PackageVersion	0.3.0
SHA-1	04B714A5436D74DF76D1036046BE31089010B00C
SHA-256	A8D04EFC183246D8959EE6283E6121A4B0258A4D353E55325BBC3FC26CB1CE9B

Key	Value
MD5	2DC1A03C990D83BF25F4AEC278DCB9E9
PackageArch	x86_64
PackageDescription	Functions to develop simulated continuous data (e.g., gene expression) from a sigma covariance matrix derived from a graph structure in 'igraph' objects. Intended to extend 'mvtnorm' to take 'igraph' structures rather than sigma matrices as input. This allows the use of simulated data that correctly accounts for pathway relationships and correlations. This allows the use of simulated data that correctly accounts for pathway relationships and correlations. Here we present a versatile statistical framework to simulate correlated gene expression data from biological pathways, by sampling from a multivariate normal distribution derived from a graph structure. This package allows the simulation of biological pathways from a graph structure based on a statistical model of gene expression. For example methods to infer biological pathways and gene regulatory networks from gene expression data can be tested on simulated datasets using this framework. This also allows for pathway structures to be considered as a confounding variable when simulating gene expression data to test the performance of genomic analyses.
PackageName	R-graphsim
PackageRelease	lp154.1.1
PackageVersion	1.0.2
SHA-1	070A1D138D8B2EC9EAFFA7E4686506A4F6F96ADD
SHA-256	57E9A2DA5C777D3A70FC9A0C253E2FBA35ECF3EE8A8609EDC2C4ED115754EBAF

Key	Value
MD5	F84D0A2F5487E24E34EEDA04C6642E9F
PackageArch	x86_64
PackageDescription	Creating tiny yet beautiful documents and vignettes from R Markdown. The package provides the 'html_pretty' output format as an alternative to the 'html_document' and 'html_vignette' engines that convert R Markdown into HTML pages. Various themes and syntax highlight styles are supported.
PackageName	R-prettydoc
PackageRelease	1.17
PackageVersion	0.3.0
SHA-1	2D52A9359DF630464481C5CD2AFCCDD8F0C70717
SHA-256	22944B93D10062174422687C8E0C9D302DC5A5D187F669D35EFDAC5A1AE218EB

Key	Value
MD5	A04AE4864B1C65C8979D974953969A87
PackageArch	x86_64
PackageDescription	Creating tiny yet beautiful documents and vignettes from R Markdown. The package provides the 'html_pretty' output format as an alternative to the 'html_document' and 'html_vignette' engines that convert R Markdown into HTML pages. Various themes and syntax highlight styles are supported.
PackageName	R-prettydoc
PackageRelease	1.42
PackageVersion	0.3.0
SHA-1	374E2B057D4710F76E566B4FBEDDF3D64D095B51
SHA-256	AD1CADE1AE8C54D1A6A539E207AEC0A3495A260C23FCB5E90451A6AC5A0C6AC0

Key	Value
MD5	58C691BDA733C8D798F5E7D5373FDA54
PackageArch	x86_64
PackageDescription	Creating tiny yet beautiful documents and vignettes from R Markdown. The package provides the 'html_pretty' output format as an alternative to the 'html_document' and 'html_vignette' engines that convert R Markdown into HTML pages. Various themes and syntax highlight styles are supported.
PackageName	R-prettydoc
PackageRelease	lp150.1.39
PackageVersion	0.3.0
SHA-1	4CB0A78E345476FE820C01B9BEC7BA1DC7D7FC90
SHA-256	5A9ECF8DBD38D598B4B834D63FD640B24224E12D3C32BEC8AE286A7493FDF2FE

Key	Value
MD5	81A68EF831634EB4AADFD8998EAF992C
PackageArch	armv7hl
PackageDescription	Creating tiny yet beautiful documents and vignettes from R Markdown. The package provides the 'html_pretty' output format as an alternative to the 'html_document' and 'html_vignette' engines that convert R Markdown into HTML pages. Various themes and syntax highlight styles are supported.
PackageName	R-prettydoc
PackageRelease	1.31
PackageVersion	0.3.0
SHA-1	4E8561DA8034DB519A12BA3E6850DAF56AE5AF00
SHA-256	EF92F3B4527D57FD998F892FBAECBEA5947C178CC78CD17E72885D3526EE44D4

Key	Value
MD5	5C12A5B9EA0AEEBEC47F5B2E86CB50C8
PackageArch	x86_64
PackageDescription	Creating tiny yet beautiful documents and vignettes from R Markdown. The package provides the 'html_pretty' output format as an alternative to the 'html_document' and 'html_vignette' engines that convert R Markdown into HTML pages. Various themes and syntax highlight styles are supported.
PackageName	R-prettydoc
PackageRelease	lp151.1.66
PackageVersion	0.3.0
SHA-1	5852220984C205A0A85D9EDB4A3C3D4CF1CD1083
SHA-256	034D01430734465E44AA8F6A5C7096EEA0E3EEED7FEFAA6E858DBACDC2D09AC1

Key	Value
MD5	F5661C779BAEFF994B8589AB2FF977B7
PackageArch	x86_64
PackageDescription	Creating tiny yet beautiful documents and vignettes from R Markdown. The package provides the 'html_pretty' output format as an alternative to the 'html_document' and 'html_vignette' engines that convert R Markdown into HTML pages. Various themes and syntax highlight styles are supported.
PackageName	R-prettydoc
PackageRelease	1.43
PackageVersion	0.3.0
SHA-1	84776842677E95CAACDAD86346307DE289F170DC
SHA-256	BFA4E9898075CB922105BFEADB8BCD12C131F1478CA338D915A3B28396C5CB9D

Key	Value
MD5	0C2439F973AB6D7D9984044D9286F1B4
PackageArch	x86_64
PackageDescription	Functions to develop simulated continuous data (e.g., gene expression) from a sigma covariance matrix derived from a graph structure in 'igraph' objects. Intended to extend 'mvtnorm' to take 'igraph' structures rather than sigma matrices as input. This allows the use of simulated data that correctly accounts for pathway relationships and correlations. This allows the use of simulated data that correctly accounts for pathway relationships and correlations. Here we present a versatile statistical framework to simulate correlated gene expression data from biological pathways, by sampling from a multivariate normal distribution derived from a graph structure. This package allows the simulation of biological pathways from a graph structure based on a statistical model of gene expression. For example methods to infer biological pathways and gene regulatory networks from gene expression data can be tested on simulated datasets using this framework. This also allows for pathway structures to be considered as a confounding variable when simulating gene expression data to test the performance of genomic analyses.
PackageName	R-graphsim
PackageRelease	lp153.1.2
PackageVersion	1.0.2
SHA-1	849B5CAD637A371B66D037F41D88B3123B9307E3
SHA-256	2FECEEAFE5441BB50D67ADDD47B1495F613340D694E04E8C6B5C8EFFBC9B75E9

Key	Value
MD5	D03548DC6F913C9506EDFDCEB4ED3D86
PackageArch	i586
PackageDescription	Creating tiny yet beautiful documents and vignettes from R Markdown. The package provides the 'html_pretty' output format as an alternative to the 'html_document' and 'html_vignette' engines that convert R Markdown into HTML pages. Various themes and syntax highlight styles are supported.
PackageName	R-prettydoc
PackageRelease	1.43
PackageVersion	0.3.0
SHA-1	86DB08C7502DFD0331A48CD54BB17C0760178B4E
SHA-256	4FFF63442D72C34F3D560F609BD08CD6501877AA748D3AF66AB0CE85F63F55CB